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Introduction to Econometrics, Update, Global Edition
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£49.29

INTRODUCTION TO ECONOMETRICS, UPDATE, GLOBAL EDITION

PAPERBACK BY STOCK, JAMES H.; WATSON, MARK W.

£49.29

ISBN
9781292071312
IMPRINT
PEARSON EDUCATION LIMITED
 
 
EDITION
3RD EDITION
PUBLISHER
PEARSON EDUCATION LIMITED
STOCK FOR DELIVERY
IN STOCK
FORMAT
PAPERBACK
PAGES
840 pages
PUBLICATION DATE
09 SEP 2014

DESCRIPTION

For courses in Introductory Econometrics Engaging applications bring the theory and practice of modern econometrics to lifeEnsure students grasp the relevance of econometrics with Introduction to Econometrics-the text that connects modern theory and practice with motivating, engaging applications.The Third Edition Update maintains a focus on currency, while building on the philosophy that applications should drive the theory, not the other way around. This program provides a better teaching and learning experience-for you and your students. Here's how: Keeping it current with new and updated discussions on topics of particular interest to today's students. Presenting consistency through theory that matches application. Offering a full array of pedagogical features. MyEconLab (R) is not included. Students, if MyEconLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. MyEconLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.MyEconLab is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.

CONTENTS

Part I. Introduction and Review 1. Economic Questions and Data2. Review of Probability3. Review of Statistics Part II. Fundamentals of Regression Analysis 4. Linear Regression with One Regressor5. Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals 6. Linear Regression with Multiple Regressors 7. Hypothesis Tests and Confidence Intervals in Multiple Regression 8. Nonlinear Regression Functions 9. Assessing Studies Based on Multiple Regression Part III. Further Topics in Regression Analysis 10. Regression with Panel Data11. Regression with a Binary Dependent Variable 12. Instrumental Variables Regression 13. Experiments and Quasi-Experiments Part IV. Regression Analysis of Economic Time Series Data 14. Introduction to Time Series Regression and Forecasting15. Estimation of Dynamic Causal Effects 16. Additional Topics in Time Series Regression Part V. The Econometric Theory of Regression Analysis 17. The Theory of Linear Regression with One Regressor18. The Theory of Multiple Regression